A Grace Blackwell AI supercomputer on your desk - NVIDIA DGX Spark
NVIDIA's DGX Spark, a compact AI supercomputer, merges exploration with innovation, empowering creators with petaflop performance. This launchpad fuels creativity, making AI accessible to developers and researchers worldwide.
The future of AI took flight at Starbase, Texas — where NVIDIA CEO Jensen Huang hand-delivered the first DGX Spark to Elon Musk, chief engineer at SpaceX.
Amid towering engines and gleaming steel, Huang walked past rows of engineers who waved and grinned. Moments later, Musk appeared in the cafeteria, greeting staff, opening donuts and chips for kids, and grabbing a slice of pizza. Huang joined him, recounting the story of delivering the first DGX system to OpenAI — and how DGX Spark takes that mission further.
"Imagine delivering the smallest supercomputer next to the biggest rocket," Huang said with a laugh.
The handoff came as SpaceX prepared for the 11th test of Starship — the world's most powerful launch vehicle — fusing the spirit of exploration with the power of AI.
Built for developers, researchers and creators, DGX Spark brings supercomputer-class performance beyond the data center — ready to grab and go.
Nine years ago, NVIDIA bet on the future of AI with NVIDIA DGX-1. Today, that bet goes beyond the data center with the handoff to Musk coming amid the 11th test of SpaceX's Starship, the world's most powerful launch vehicle.
From robotics labs to creative studios, DGX Sparks are landing where ideas happen… putting petaflop AI within arm's reach of everyone.
What's Inside DGX Spark? A Supercomputer in the Palm of Your Hand
It's the size of a piece of origami paper, and the thickness of a hardcover book. It acts like a rocket engine for AI.
DGX Spark isn't just compact — it's dense with possibility. Inside its 1.2 kg chassis is a full-blown AI supercomputer built to take AI beyond the data center and into the hands of those who create.
At its core:
NVIDIA GB10 Grace Blackwell Superchip — delivering up to 1 petaflop of AI performance at FP4 precision.
128GB of unified CPU-GPU memory — so developers can prototype, fine-tune and run inference locally without bouncing between machines or cloud instances.
NVIDIA ConnectX networking for clustering and NVIDIA NVLink-C2C for 5x PCIe bandwidth.
NVMe storage for speed and HDMI out for visuals.
And it's not just hardware. DGX Spark comes with the full NVIDIA AI software stack — frameworks, libraries, pretrained models and NVIDIA NIM microservices, ready to power workflows like:
Customizing image-generation models such as FLUX.1
Building vision search and summarization agents with NVIDIA Cosmos
Deploying optimized chatbots using Qwen3
This isn't a dev box. It's a launchpad… A petaflop of AI performance within arm's reach for developers, researchers and creators everywhere.